Evidence map›Paper›PMID 29415772›Full record

ArticleGenome biology2018

Kourami: graph-guided assembly for novel human leukocyte antigen allele discovery.

Heewook Lee, Carl Kingsford

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 97 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Shared trans-ancestry architecture of HLA-mediated disease risk in themedRxiv : the preprint server for health sciences · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Heewook LeeComputational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.
Carl KingsfordComputational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. carlk@cs.cmu.edu.
Carnegie Mellon University · US

Funding

Algorithms for Managing Uncertainty in Chromosome Conformation Capture DataR01HG007104 · NHGRI · CARNEGIE-MELLON UNIVERSITY · PI KINGSFORD, CARLETON LEE · 2013 to 2015
$1.3M
Division of Computing and Communication Foundations CCF-1256087Division of Computing and Communication Foundations CCF-1319998Gordon and Betty Moore Foundation GBMF4554NHGRI NIH HHS R01 HG007104NHGRI NIH HHS R01HG007104
6 · The paper itself

Abstract

Accurate typing of human leukocyte antigen (HLA) is important because HLA genes play important roles in immune responses and disease genesis. Previously available computational methods are database-matching approaches and their outputs are inherently limited by the completeness of already known types, making them unsuitable for discovery of novel alleles. We have developed a graph-guided assembly technique for classical HLA genes, which can construct allele sequences given high-coverage whole-genome sequencing data. Our method delivers highly accurate HLA typing, comparable to the current state-of-the-art methods. Using various data, we also demonstrate that our method can type novel alleles.

Indexed as

AllelesGenomeHaplotypesHistocompatibility TestingHLA AntigensHumansTerminology as TopicWhole Genome SequencingHLA Antigens

Identifiers

PMID29415772
PMCPMC5804087
OpenAlexW2796069077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.